Dynamic parameter adjustment in a cognitive MAC protocol with transmission tax

Abstract

Efficient operation of a cognitive personal area network (CPAN) may be achieved if each data transmission is taxed by requiring the transmitting node to participate in cooperative sensing for a prescribed time period.We investigate the data transmission performance of this approach, as well as its sensing accuracy, and discuss two modifications that involve centralised and distributed selection of the channels to be sensed.We also propose an adaptive algorithm to determine the tax coefficient and show that it offers superior data transmission performance whilst not affecting the sensing accuracy.